Gender inequalities in the disruption of long-term life satisfaction trajectories during the COVID-19 pandemic and the role of time use: evidence from a prospective cohort study by Darío Moreno-Agostino, Jenny Chanfreau, Gemma Knowles, Alina Pelikh, Jayati Das-Munshi, George B. Ploubidis

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Evaluation of Pavement Structural Number and Resilient Modulus in a Schistose Quartzite/Quartzite Environment using Dynamic Cone Penetration Test Data: Consequence for flexible pavement construction by Olumuyiwa Falowo, A.S. Daramola, W.K. Olabisi

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CrystalShift: A Versatile Command-Line Tool for Crystallographic Structural Data Analysis, Modification, and Format Conversion Prior to Solid-State DFT Calculations of Organic Crystals by Ilona A. Isupova, Denis A. Rychkov

“…<i>CrystalShift</i> is an open-source computational tool tailored for the analysis, transformation, and conversion of crystallographic data, with a particular emphasis on organic crystal structures. …”
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Land use classification through fusion of remote sensing images and multi-source data by Guo Zhiqian, Ren Yushui, Li Xin, Ma Kang, Qian Shujun

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Comparing physical analogue and traditional videos for learning and emotional engagement by Tingting Zhu, Rutwa Engineer, Xaria Prempeh, Anna Ly, Michelle Craig, Andrew Petersen

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Analysis of strengths, weaknesses, opportunities, and threats: Analytical hierarchy process based dental waste management in Odisha by Somalee Mahapatra, Manoranjan Dash, Subhashis Mohanty

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STRUCTURAL-COMPOSITIONAL MODEL OF THE NYURBINSKAYA KIMBERLITE PIPE FORMATION (SREDNE-MARKHA AREA OF THE YAKUTIAN DIAMONDIFEROUS PROVINCE) by A. S. Gladkov, D. A. Koshkarev, A. V. Cheremnykh, F. João, M. A. Karpenko, M. V. Marchuk, I. A. Potekhina

“…Analysis of different faults and tectonic fracturing allowed to reconstruct the tectonic stress fields acting at the stage of the kimberlite body formation and to determine their occurrence sequence in time. The data obtained about regularities of the Nyurbinskaya pipe compositional structure and results of geologo-structural studies are combined in a single structural-compositional model of the deposit formation. …”
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ON THE TIME AND CONDITIONS OF FORMATION OF THE SHOKSHA QUARTZITE-SANDSTONES OF THE SOUTH ONEGA DEPRESSION BASED ON THE NEW DATA FROM ISOTOPE GEOCHRONOLOGY by N. B. Kuznetsov, S. Yu. Kolodyazhnyi, T. V. Romanyuk, A. V. Strashko, A. S. Baluev, E. N. Terekhov, S. V. Mezhelovskaya, A. S. Dubensky, V. S. Sheshukov

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Optimisation of the performance and structure of soluble ball seat metal sealing rings based on response surface by CHEN Zhen, RAN Qingjie, CHEN Nengpeng, WANG Qiaomu

“…On this basis, the Box-Behnken design is used to construct a four-factor and three-level experimental scheme, and a second-order response surface agent model is established by 25 sets of simulation data, with the dual optimization objectives of minimizing the equivalent force and maximizing the contact pressure, and the relationship between the structural parameters and the equivalent force and the contact pressure as the optimization function, and the range of geometrical parameters as the boundary conditions. …”
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Model of Health-Related Quality of Life in Breast Cancer Patients Using Cross-Sectional Data: The Role of Resilience by Velickovic K, Olsson Möller U, Ryden L, Bendahl PO, Malmström M

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Fast report: Coseismic source model of the January 2025 Mw 6.1 Dapu earthquake from geodetic data and its implications for seismogenic structures in Southwestern Taiwan by Yogendra Sharma, Kuo-En Ching, Wu-Lung Chang, He-Chin Chen, Shih-Han Hsiao, Wu-Yu Liao, En-Jui Lee, Ray Y. Chuang, Chien-Liang Chen

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Relações empíricas entre a estrutura da vegetação e dados do sensor TM/LANDSAT Empirical relationship between vegetation structure and TM/LANDSAT data by Luciano J. de O. Accioly, Admilson Pachêco, Thomaz C. e C. da Costa, Osvaldo F. Lopes, Maria A. J. de Oliveira

“…<br>The use of spectral data to estimate the structural parameters of vegetation has been considered as one of the most important applications of the remote sensing of ecosystems. …”
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LOW AND MEAN RADIATION DOSES IMPACT ON THE CEREBRAL TRACTS STRUCTURE OF THE CHERNOBYL ACCIDENT LIQUIDATORS IN THE REMOTE PERIOD (BASED ON ROUTINE AND DIFFUSION-TENSOR MAGNETIC RESONANCE IMAGING DATA) by I. M. Levashkina, S. S. Aleksanin, S. V. Serebryakova, T. G. Gribanova

“…To evaluate correlation between brain structural damages and radiation exposure level for the Chernobyl nuclear power plant accident liquidators, routine and diffusion tensor magnetic resonance imaging methods are efficient to visualize and evaluate those damages; it is also important to compare magnetic resonance imaging data of liquidators with results, received for people of the same age and the same stage of cerebral vascular disease (the discirculatory encephalopathy of I and II stage), but who did not participate in the Chernobyl accident liquidation and did not suffer from other liquidation factors and radiation catastrophe aftermaths. …”
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Stream Members Only: Data-driven Characterization of Stellar Streams with Mixture Density Networks by Nathaniel Starkman, Jacob Nibauer, Jo Bovy, Jeremy J. Webb, Kiyan Tavangar, Adrian Price-Whelan, Ana Bonaca

“…A precise characterization of streams from potentially noisy data marks a crucial step in inferring galactic structure, including the dark matter, across orders of magnitude in mass scales. …”
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SUMMARIA — A XAI Support Methodology by Generating Composite Linguistic Summaries of Qualitative Data by Carlos Rafael Rodríguez-Rodríguez, Yeleny Zulueta-Veliz, Dainys Gainza-Reyes

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Mitochondrial DNA data allow distinguishing the subpopulations in the widespread Demoiselle crane (Anthropoides virgo) by E. A. Mudrik, E. I. Ilyashenko, P. A. Kazimirov, K. D. Kondrakova, T. P. Archimaeva, L. D. Bazarov, O. A. Goroshko, Ts. Z. Dorzhiev, A. N. Kuksin, K. A. Postelnykh, V. V. Shurkina, V. Yu. Ilyashenko, A. V. Shatokhina, D V. Politov

“…Based on cyt b variability, the population genetic structure of the species was characterized within most of its range in Russia. …”
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Treatment of Missing Market Data: Case of bond Yield Curve Estimation by M. S. Makushkin, V. A. Lapshin

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Parcel-scale crop planting structure extraction combining time-series of Sentinel-1 and Sentinel-2 data based on a semantic edge-aware multi-task neural network by Zhiguang Tang, Xiangdong Wang, Qin Jiang, Haizhu Pan, Gang Deng, He Chen, Yuanhong You, Sijia Li, Haiyan Hou

“…Ultimately, a parcel-scale random forest (RF) model was developed to enable accurate crop type classification and spatial delineation of crop planting structures. Results show: 1) SEANet achieves accurate extraction of parcel boundaries, extracting a total of 175,000 parcels, and demonstrates a relative error of 6.98% compared to statistical yearbook data. …”
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Innovation-Based Research Using Structural Flexibility and Acceptance Model (SFAM) by   Solimun, Adji Achmad Rinaldo Fernandes

“…The research objectives are as follows: (1) Develop a solid structural model assuming normality and homoscedasticity. (2) Obtain the property estimator of the flexible and robust SFAM structural model. (3) Obtaining hypothesis testing of each relationship built from the flexible and strong SFAM structural model. …”
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A structural biology compatible file format for atomic force microscopy by Yining Jiang, Zhaokun Wang, Simon Scheuring

“…Abstract Cryogenic electron microscopy (cryo-EM), X-ray crystallography, and nuclear magnetic resonance (NMR) contribute structural data that are interchangeable, cross-verifiable, and visualizable on common platforms, making them powerful tools for our understanding of protein structures. …”
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